Senior Platform Engineer

Role Overview

Apply hands-on cloud infrastructure and platform engineering expertise to create realistic training environments that help next-generation AI systems learn to design, deploy, troubleshoot, secure, scale, and recover production-grade infrastructure. This remote contractor role focuses on turning real-world engineering knowledge into high-quality technical tasks, validations, and reference solutions. Prior AI experience is not required.

Key Responsibilities

• Create realistic cloud infrastructure tasks covering distributed systems, networking, security, scalability, and reliability.
• Develop scenarios involving IAM, queues, durable storage, observability, rolling deployments, and disaster recovery.
• Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.
• Define measurable requirements for infrastructure configuration, deployed topology, and runtime behavior.
• Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
• Debug environments, document technical decisions, and review tasks created by other experts.

Qualifications

• Senior-level experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE, including direct ownership of a production platform.
• Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.
• Practical experience with IAM, private networking, least-privilege access, and service-to-service security.
• Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.
• Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.

Preferred Qualifications

• Experience with Terraform or OpenTofu.
• Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure.
• Experience building internal developer platforms, edge infrastructure, or shared platform services.
• Experience with chaos engineering, fault injection, local cloud emulators, or resilience testing.
• Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required.

Work Terms

• Remote, independent contractor engagement.
• Work is output-based, with a minimum number of task submissions required each week.
• Time required to complete work varies based on experience and workflow, and minimum submission requirements apply.

Compensation

• $60 to $130 per hour.
• Payment is based on tasks that meet project specifications.

Application Process

• Submit an application and complete screening questions.
• Complete an AI interview of approximately 30 minutes, reviewed by recruiters.
• Proceed to hiring manager review.